Maziar Sabouri
Academic Profile
Posts
Contact Information
-Email
MaziarSabouriApplyChance Link
Educations
Supervisor's name :Dr. Ahmad Bitarafan-Rajabi
Title :
CRT Response evaluation by applying quantitative Gated SPECT MPI features in machine learning techniques
Work Experiences
Quality control engineer
Tutor in Mathematics
Tutor in Nuclear Physics
English Scores
IELTS14-Jan-2022
7/9Total
Reading :
7/9
Speaking :
6.5/9
Listening :
7.5/9
Writing :
6.5/9
Conferences
Your Presentation Title :
Harmonization of Myocardial Perfusion SPECT Radiomics Features: A Patient StudyConference Name :2022 SNMMI Annual Meeting
Your Presentation Title :
Cardiac SPECT Radiomics Features Reproducibility: Patient StudyConference Name :2022 IEEE Nuclear Science Symp
Your Presentation Title :
End to End Fully Automated Cardiac Disease Diagnosis using Deep Learning and SPECT ImagingConference Name :2021 IEEE Nuclear Science Symp
Your Presentation Title :
Cardiac Pattern Recognition from SPECT Images Using Machine Learning AlgorithmsConference Name :2021 IEEE Nuclear Science Symp
Your Presentation Title :
Dual Input Scintigraphy Image Base Fused Deep Neural Networks for Bone Abnormalities Detection and DifferentiationConference Name :2021 IEEE Nuclear Science Symp
Your Presentation Title :
ComBat Harmonization of Image Reconstruction Parameters to Improve the Repeatability of Radiomics FeaturesConference Name :2021 IEEE Nuclear Science Symp
Journal Publications
Publication Title :
Cardiac Contractile Pattern Recognition by Radiomic and Clinical features Using SPECT Myocardial Perfusion Imaging and Machine Learning ApproachesFirst author
Journal :
Journal of Digital Imaging
Link :
Publication Title :
Investigating the convergence of phase analysis indices by gated SPECT MPI with common filters and reconstruction methodsCorresponding author
Link :
Awards
Ranked 6thMedPhy MSc exam2019-06-21
Top RankedPhy MSc exam2019-04-20
References
Ahmad Bitarafan-Rajabi
bitarafan@hotmail.com
Isaac Shiri Lord
isaac.shirilord@unige.ch